The Long Shadow of Informality

Page 36

6

C H A P T ER 1

T H E L O NG S HA D O W O F I N F O R MA L I T Y

and examined informality in terms of either output or employment.2 The book examines three dimensions of informality—output, employment, and perceived level of informality—and uses a combination of informality measures to overcome the limitation of each measure (chapter 2). In addition, various empirical strategies are employed to address the specific questions posed in different chapters. The study is the first to conduct a Bayesian model averaging (BMA) estimation—designed to capture model uncertainty—to identify robust correlates of informality, and a meta-analysis of published empirical studies to estimate the wage gap between formal and informal workers (chapter 4). For the purposes of this study, informality is defined as market-based legal production of goods and services that is hidden from public authorities for monetary, regulatory, or institutional reasons (Schneider, Buehn, and Montenegro 2010).3 Output informality is proxied by estimates based on a dynamic general equilibrium model, in percent of GDP, and employment informality is proxied by self-employment in percent of total employment, unless otherwise specified (chapter 2).

Key findings and policy messages Using a comprehensive database of multiple informality measures, this book examines the main characteristics of the informal economy, discusses its developmental implications, and presents a range of policy options to address issues associated with it.

Features of informal activity Informality is associated with underdevelopment more broadly (La Porta and Shleifer 2014). Whereas the informal economy accounts for one-fifth of GDP and 16 percent of employment in advanced economies, it accounts for, on average, one-third of GDP and 70 percent of employment in EMDEs (of which self-employment accounts for more than a half; see chapter 2). Both informal output and employment have declined since 1990, especially in EMDEs. Thus, on average in EMDEs, the share of informal output in GDP fell by about 7 percentage points (to 32 percent), and the share of selfemployment in total employment declined by about 10 percentage points (to 36 percent) over 1990-2018. These declines were broad-based. There is wide heterogeneity in informal activity among EMDEs and EMDE regions. For example, in 2018, in terms of output, the informal economy ranged from around 10 percent of GDP to 68 percent of GDP; in terms of employment, self-employment

2 Studies like Fajnzylber, Maloney, and Montes-Rojas (2011) and Amin (2021) relied on survey-based estimates, whereas studies like Dreher and Schneider (2010) and Elgin, Elveren, and Bourgeois (2020) utilized model-based estimates. Bajada (2003), Dell’Anno (2008), and Giles (1997) examined output informality, whereas studies like Fiess, Fugazza, and Maloney (2010) and Loayza and Rigolini (2011) examined employment informality. 3 The definition and classification of informality are context-specific. See chapter 2 for various other definitions.


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Articles inside

References

17min
pages 344-353

Annex 6A Policies and informality

3min
pages 323-324

Fiscal measures

2min
page 301

Data and methodology

2min
page 300

6.1 Financial development and the informal economy

9min
pages 290-294

6.8 Informality after labor market reforms in EMDEs

2min
page 313

Conclusion

2min
page 271

References

20min
pages 272-284

Conclusion

2min
page 319

Latin America and the Caribbean

2min
page 251

South Asia

2min
page 260

Sub-Saharan Africa

4min
pages 264-265

Middle East and North Africa

2min
page 255

Europe and Central Asia

2min
page 246

East Asia and Pacific

2min
page 241

Informality in EMDEs

2min
page 237

References

24min
pages 222-234

4D.7 Regression: Changes in informality and poverty reduction

2min
page 208

competition

2min
page 206

4D.8 Regression: Changes in informality and improvement in income inequality

1min
page 209

4D.14 Regression: Developmental challenges and DGE-based output informality in EMDEs

5min
pages 216-218

Annex 4C Bayesian model averaging approach

4min
pages 200-201

4D.4 Regression: Labor productivity of formal and informal firms 4D.5 Regression: Labor productivity of formal firms facing informal

1min
page 205

Annex 4B Regression analysis

2min
page 199

Annex 4A Meta-regression analysis

2min
page 198

Informality and SDGs related to human development

2min
page 191

Informality and SDGs related to infrastructure

2min
page 193

4.3 Informality, poverty, and income inequality

5min
pages 180-182

Informality and institutions

2min
page 189

Finding the needle in the haystack: The most robust correlates

2min
page 195

Conclusion

1min
page 197

Informality and economic correlates

2min
page 179

4.2 Casting a shadow: Productivity in formal and informal firms

4min
pages 167-168

Links between informality and development challenges

2min
page 165

4.1 Informality and wage inequality

8min
pages 158-161

References

6min
pages 147-152

Conclusion

2min
page 136

Data and methodology

2min
page 129

Literature review: Linkages between formal and informal sectors

6min
pages 126-128

References

13min
pages 115-122

2B.9 World Values Survey

1min
page 114

2B.8 MIMIC model estimation results, 1993-2018

1min
page 113

Future research directions

2min
page 54

Database of informality measures

14min
pages 81-86

References

10min
pages 55-62

Key findings and policy messages

6min
pages 36-38

Definition of informality

4min
pages 79-80

Conclusion

2min
page 99

Annex 2A Estimation methodologies

9min
pages 100-103

16 Informality indicators and entrepreneurial conditions in Sub-Saharan

2min
page 35
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